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About 10,000 papers for “Network monitoring”

Network Monitoring

Pras, Aiko, Alexander, P., Christian, P. et al. · Data Archiving and Networked Services (DANS) · 2001

Cited by 0

Network Monitoring

Aiko Pras, P. Alexander, P. Christian · University of Twente Research Information · 2001

Cited by 0

Network Monitoring

Adekolu, Adekunle Matthew, Khan, Hasan, Neelam, Neelam · KTH Publication Database DiVA (KTH Royal Institute of Technology) · 2014

Managing a network is a very big functional area along with performance, devicemaintenance, security, performance, monitoring, troubleshooting, plan of changeand etc. Among all of these monitoring plays a vital role. It can cover a wide area ofnetwork management. Monitoring is the only way to find out whether the networkis functioning according to plan. In order to know what is happening in a network,how its functioning at any given time, a network should have a logging system. Nowa day this logging activity is done by Network monitoring tool. It lets user know thestatus of the network at any given time. This logging can give the user a wide viewwhat can't be seen in general. For example the statistics of a week or month, even ayear. Monitoring is a very important issue in an organization network which aroseover the time.In this project we are going to implement some well known network monitoringtools in a real world scenario and we will investigate how this monitoring tool canhelp network administrators to monitor a network . Moreover, what kind ofinformation we can extract from a network by these tools.The purpose of this project is to get an overall idea about the importance of networkmonitoring and what are the facts need to be considered while monitoring anetwork. There are lots of pros and cons in monitoring a network. So choosing theappropriate tool for monitoring is very important. Monitoring a network with theleast effects on network performance is the best solution in case of monitoring.The outcome from these monitoring tools is a wide range of useful data andintegration of these data produces the status of the network at any give time.Moreover these data will be logged to create a statistical report. Different users suchas a network admin and organization can use this information from differentperspectives to make a network more efficient for users.

Cited by 0Open access

Network Monitoring

Aiko Pras, P. Alexander, P. Christian · University of Twente Research Information · 2001

Cited by 0

Network Security Monitoring

2019

Network security monitoring remains a vital component for incident response, threat hunting, and network security in general. This chapter focuses on network activity and explores the Elastic Stack and ways to integrate host-based data to provide enhanced visibility across the network. It examines the architecture for deployment of Security Onion in an enterprise and each of the major tools integrated into the platform. The chapter outlines basic skills to facilitate effective incident response for those situations where the critical data that reader need has not been conveniently placed into Elastic Stack or another analysis platform. The Elastic Stack provides an amazing platform to support incident response, but readers occasionally will need to access other data sources directly on a host or that otherwise have not been ingested into a centralized analysis platform. Web servers, *nix systems, and other applications store many of their logs in a text-based format.

Cited by 0

5G Network Monitoring

A. Patra, Aditya N Mishra, Evan Quinn et al. · 2024

We worked to develop monitoring software to characterize RF conditions of a new 5G Campus Outdoor Cellular Testbed during Johns Hopkins' ASPIRE internship program under the mentorship of Jessica Bridgland, Noah Hamilton, and Dr. Ashutosh Dutta. To analyze the efficiency of the network, we used different devices to pull various RF metrics. From SixFab's Raspberry Pi Modem to different phones, we pulled readings from across the campus. Keeping track of location, the devices monitored signal strength, noise, as well as other metrics and sent them back to a general database. We used Python Flask for a server where a database was created using PostgreSQL. As our project progressed, we had numerous future plans including a GUI and improved analysis. Focusing on anomaly detection, we could direct devices in certain areas to pull more readings to allow for more data and accurate conclusions about conditions in that zone. Our GUI could be a map graphic with which users can interact would model and display this data more efficiently. Poster: https://docs.google.com/presentation/d/1s-1OB5Njrg2JxeDyXVfSQa0pFXsQSoh6oe2XIWe8JY/edit?usp=sharing

Cited by 0

Network Monitoring System

K.Dhivya, Bharathi.A.K, Deepika.P et al. · Zenodo (CERN European Organization for Nuclear Research) · 2025

In today’s digitally connected world, maintaining the stability, performance, and security of computer networks has become crucial for organizations and individuals alike. This project presents a network monitoring system designed to observe, analyze, and report network activities in real time. The system continuously tracks parameters such as bandwidth usage, connected devices, latency, and packet transmission rates to identify irregularities or potential failures. It offers a user-friendly interface that enables administrators to visualize network performance metrics and take timely actions to mitigate issues like congestion or downtime. By automating the process of monitoring and alert generation, the system enhances operational efficiency, minimizes manual intervention, and ensures optimal network performance. This solution is scalable and adaptable, making it suitable for educational institutions, small businesses, and enterprise environments.

Cited by 0Open access

Network Performance Monitoring

Shriram Raghavendra Ramamurthy · OhioLink ETD Center (Ohio Library and Information Network) · 2012

Cited by 0Open access

Social Network monitoring

Colom Montoya, Joan · QRU Quaderns de Recerca en Urbanisme · 2019

Aquest Treball Final de Grau implementa una eina per monitoritzar els comentaris i mencions que es fan sobre les fotografies que publiquem en la compte d'Instagram. Durant el procés de monitorització s'obtenen diverses dades i metadades associades als recursos monitoritzats (comentaris i mencions). Per tal d'obtindre major suport i fiabilitat, hem fet ús de l'API oficial d'Instagram (Facebook), la Graph API. Aquesta API està en constant evolució i va incorporant noves funcionalitats. L'arquitectura del sistema implementat permetrà que aquestes es puguin incorporar de manera fàcil, així com poder modificar les dades i metadades que s'obtenen durant el procés de monitorització. Així doncs, el nostre sistema és fàcil de mantenir i ampliar.

Cited by 0Open access

Operations]: Network Monitoring

Renata Teixeira, Sharad Agarwal, Jennifer Rexford · 2015

Large ISPs experience millions of BGP routing changes a day. In this paper, we discuss the impact of BGP routing changes on the ow of trafc, summarizing and reconciling the results from six measurement studies of the Sprint and AT&T backbone networks.

Cited by 0

Dynamic Monitoring Network.

Jones, Kyle Richard · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2017

Abstract not provided.

Cited by 0Open access

Online network monitoring

Anna Malinovskaya, Philipp Otto · Statistical Methods & Applications · 2021

An important problem in network analysis is the online detection of anomalous behaviour. In this paper, we introduce a network surveillance method bringing together network modelling and statistical process control. Our approach is to apply multivariate control charts based on exponential smoothing and cumulative sums in order to monitor networks generated by temporal exponential random graph models (TERGM). The latter allows us to account for temporal dependence while simultaneously reducing the number of parameters to be monitored. The performance of the considered charts is evaluated by calculating the average run length and the conditional expected delay for both simulated and real data. To justify the decision of using the TERGM to describe network data, some measures of goodness of fit are inspected. We demonstrate the effectiveness of the proposed approach by an empirical application, monitoring daily flights in the United States to detect anomalous patterns.

Cited by 0Open access

Wireless Network Monitoring

Master's Plan Report, Sandeep P Karanth, Prof Anand Tripathi · 2007

Wireless networks based on IEEE 802.11 are becoming integral parts of any enterprise network. The inherent openness of these networks makes them a target for attackers. The coverage of wireless networks cannot be con ned by walls or obstacles. The task of an enterprise network administrator is thus compounded by the introduction of wireless technology. Most of the attacks on wireless networks are due to vulnerabilities in the Medium Access Control (MAC) Layer. This fact drives the need for a MAC layer network monitoring system.

Cited by 0

Icinga Network Monitoring

Viranch Mehta · CERN Bulletin · 2013

This book is written in a concise and easy-to-follow approach, it will guide you to get you started with Icinga and lead you through the difficult concepts with illustrated examples and screenshots.If you are a system administrator or Linux enthusiast who is looking for a flexible tool to monitor network infrastructure efficiently, or trying to understand the Icinga software, this is a great book for you. You are expected to have solid foundation in Linux.

Cited by 2